# Episode 7: AI at the Bench: The New Wet Lab Workflow

Page: https://stenobird.com/podcast/from-models-to-medicine-7769799/episode-7-ai-at-the-bench-the-new-wet-lab-workflow
Text version: https://stenobird.com/podcast/from-models-to-medicine-7769799/episode-7-ai-at-the-bench-the-new-wet-lab-workflow.md
Podcast: [From Models to Medicine](https://stenobird.com/podcast/from-models-to-medicine-7769799)
Published: 2026-05-06T16:00:00+00:00
Episode link: https://podcasters.spotify.com/pod/show/kami-think-tank/episodes/Episode-7-AI-at-the-Bench-The-New-Wet-Lab-Workflow-e3isfhe
Audio file: https://anchor.fm/s/110164688/podcast/play/119471086/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-4-4%2Fc4897bf5-93d8-51d4-2d2b-0afdd99737f9.mp3
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JSON: https://stenobird.com/v1/public/podcasts/from-models-to-medicine-7769799/episodes/episode-7-ai-at-the-bench-the-new-wet-lab-workflow
Duration seconds: 2704

## Resource

In this episode of From Models to Medicine , we sit down with Elisa Martin Perez , a postdoc at University of California, Berkeley, to talk about how non-coders are starting to use AI in their day-to-day work. From learning R through conversation to making sense of massive CRISPR screens, Elisa shares how AI is becoming a practical tool for navigating data, checking experimental design, and cutting down on the kinds of manual tasks that quietly consume hours in the lab. We also get into the hesitation many scientists feel around adopting AI, where the technology actually helps (and where it doesn’t), and why it still falls short of running experiments end-to-end. Along the way, we touch on lab logistics, data overload, and what it means to use AI as a thinking partner rather than a replacement.

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## Transcript

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